Natural Language Processing for Enterprise Applications

Abstract

Researchers are concentrating on more efficient communication technologies that can emulate human interactions and comprehend natural languages and human emotions as a result of people's growing reliance on computer-assisted systems. Unstructured data, which is deemed useless, has increased due to the issue of information overload in every industry, including business, healthcare, education, etc. In this context, natural language processing (NLP) is one of the efficient technologies that may be used with more sophisticated technologies, such as machine learning, artificial intelligence, and deep learning, to enhance the interpretation and processing of natural language. In addition to improving human-computer interaction, this can also enable massive amounts of useless and unstructured data to be analyzed and formatted in numerous industrial applications. This will produce significant results that can improve decision-making and hence increase operational effectiveness. This chapter introduces the idea of NLP, its background, and its current state while also going through examples of its use in various industrial fields.

Keywords: Natural Language Processing, Artificial Intelligence, Machine Learning.